Scaling AI-Powered Credit Decisioning & Underwriting Firms Faster.
Unlocking Enterprise Growth While Cutting CAC
We help AI-powered credit decisioning & underwriting providers book at least 15 high-intent lender meetings in 90 days, while effortlessly cutting sales cycles by up to 60%.
AP/AR automation is booming, but most providers are unknowingly losing enterprise buyers before deals ever fully close.
Firms that fix this now are locking in market dominance.
Those who wait? They’ll see deals stall while competitors scale faster.
We spent 1,000+ hours analyzing 200+ AI-powered credit decisioning & underwriting GTM strategies, here’s what we uncovered about reducing approval bottlenecks, accelerating enterprise adoption, and cutting acquisition costs.
The Silent GTM Bottleneck Stalling AI Lending Growth
LaaS teams are unknowingly burning budgets on leads that will never pass procurement.
Book a Private GTM Strategy Call
Your competitors are solving this. Are you?
We only offer this to a few firms per quarter to avoid conflicts of interest. If you're serious about optimizing your GTM motion, this is your chance to get a first-mover advantage.
What You’ll Get from This Call
A clear roadmap to scaling AI credit decisioning firms at enterprise speed.
A proven GTM strategy to accelerate adoption and cut deal-stalling friction.
No fluff, just a data-backed approach to closing more enterprise deals.
The 4 Silent Deal-Killers Costing AI Lending Firms Millions
Risk teams show interest but never take action.
Procurement teams slow-roll decisions for months.
High-intent deals suddenly go quiet with no clear reason.
Sales cycles extend indefinitely, bleeding CAC and crushing momentum.
Most firms don’t realize it’s happening, until…
Another quarter passes.
Churn rises.
CAC keeps climbing.
No one can explain why.
Winning AI lending firms are:
✔️ Reducing CAC while increasing enterprise adoption.
✔️ Closing high-value enterprise deals faster and with less friction.
✔️ Scaling without relying on endless demand gen and expensive pilots.
CASE STUDY
How an AI Lending Firm Cut Sales Cycles by 47% & Doubled Enterprise Velocity
The Challenge
An AI-powered credit decisioning & underwriting firm was struggling to convert enterprise interest into closed deals. Despite strong engagement from risk and finance teams, deals stalled before procurement even got involved, leading to:
74% of enterprise AI lending deals dying before procurement review.
Risk teams showing interest but failing to push deals forward.
Procurement teams slow-rolling approvals, delaying enterprise adoption.
High-intent enterprise buyers disappearing without explanation.
The worst part? Most AI lending firms don’t even realize it’s happening, until another quarter is lost, CAC keeps climbing, and no one can explain why.
It wasn’t a compliance issue.
It wasn’t about pricing resistance.
It wasn’t due to AI trust concerns.
The real issue?
A silent GTM blocker that stalled momentum before real decision-makers were even engaged.
Our Proven System
15 High-Intent Lender Meetings in 90 Days
We help AI-powered credit decisioning & underwriting providers book at least 15 high-intent lender meetings in 90 days, while effortlessly cutting sales cycles by up to 60%.
This means:
✅ More enterprise deals moving forward, without adding extra headcount.
✅ Faster sales cycles, meaning revenue lands sooner.
✅ No more “interested but not ready” leads, just serious buyers.
📊 This exact strategy helped this AI lending firm cut their sales cycle by 47% and double enterprise deal velocity.
The fix?
After an in-depth GTM audit, we identified and removed the hidden enterprise sales bottleneck, unlocking enterprise growth with a new, optimized GTM strategy.
The firm restructured their sales motion with four key plays:
Engaging finance teams earlier, before risk & procurement approvals
- Positioned financial ROI upfront to secure CFO buy-in early.
- 35% fewer deal drop-offs before procurement involvement.
Redesigning sales & marketing alignment to remove friction
- Shifted from feature-based selling to an ROI-driven enterprise approach (used by top SaaS lenders).
- Implemented account-based engagement, cutting down enterprise sales cycles.
Providing AI model explainability upfront
- Preempted risk concerns with third-party AI transparency reports.
- Mirrored how Stripe, Plaid, and other top AI firms win regulatory buy-in faster.
Aligning LaaS Pricing with Enterprise CFO Expectations
- Built fast-track approval workflows modeled after high-growth SaaS sales teams.
- Reduced procurement approval timelines by 41%, securing deals faster.
The Impact
While most AI lending firms still struggle with prolonged sales cycles, this firm now moves enterprise deals 2X faster than the industry standard.
Sales cycle reduced by 47%, from an average of 9 months to just over 4.5 months.
2X enterprise deal velocity, leading to faster pipeline movement and revenue growth.
Higher contract values & lower CAC, by reducing friction and increasing enterprise adoption speed.
Key Takeaways for AI Lending Firms
This case proves that most enterprise AI lending deals don’t fail because of price, compliance, or trust issues, but because of silent GTM blockers that firms don’t recognize until it’s too late.
If your AI lending firm is facing stalled enterprise deals, this might be happening to you.
The firms solving this today are locking in major enterprise partnerships, while slower-moving competitors keep losing deals.
Want to See the Full Breakdown?
We only offer this to a few firms per quarter to avoid conflicts of interest. If your enterprise adoption is stuck, this is your chance to fix it before competitors do.
Get the proven GTM playbook AI lending firms are using right now.
